Apache Hive™ on Apache Spark™ has been the preferred engine for ETL workloads at Uber. Hive on Spark supports a wide range of use cases across various verticals like compliance, financial reporting, planning, forecasting, fraud, and risk analysis. Before the migration, there were about 18,000 Hive ETL workflows generating around 5 million queries per month, contributing to significant percentage of Uber’s total Yarn usage. Additionally, Hive was used for interactive use cases, handling ...
